[Retracted] Optimization Algorithm of Tourism Security Early Warning Information System Based on Long Short‐Term Memory (LSTM)

L Feng, Y Hao - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
Tourism safety is the focus of the tourism industry. It is not only related to the safety of
tourists' lives and property, but also related to social stability and sustainable development of …

Safety Risk Evaluation of Tourism Management System Based on PSO‐BP Neural Network

J Song, H Xu - Wireless Communications and Mobile …, 2023 - Wiley Online Library
With the recovery of the tourism industry and the development of the field of artificial
intelligence, the application of intelligent neural network technology to management systems …

An early warning mechanism for the environmental carrying capacity of forest tourist attractions and hotels online operations based on big data integration technology

S Hao, L Lian - 2022 International Conference on Inventive …, 2022 - ieeexplore.ieee.org
This article attempts to introduce the BP neural network model to construct an early warning
system for the environmental carrying capacity of forest tourist attractions and hotels online …

Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety

Z Geng, X Wang, Y Jiang, Y Han, B Ma… - Expert Systems with …, 2023 - Elsevier
Ensuring food quality and safety is essential after ensuring the quantity of food. Therefore,
an improved adaptive particle swarm optimization algorithm (IAPSO) for optimizing the long …

[Retracted] Application of Improved LSTM Algorithm in Macroeconomic Forecasting

S Chen, X Han, Y Shen, C Ye - Computational Intelligence and …, 2021 - Wiley Online Library
From a macro perspective, futures index of agricultural products can reflect the trend of
macroeconomy and can also have an early warning effect on the possible crisis and provide …

Intelligent image recognition system for detecting abnormal features of scenic spots based on deep learning

K Liu, M Zhang, MK Hassan - Journal of Intelligent & Fuzzy …, 2020 - content.iospress.com
To monitor the scene anomaly in real-time through video and image and identify the
emergencies, try to respond quickly at the beginning of the emergency and reduce the loss …

Evaluation of Travel Security Early Warnings by Applying TOPSIS with Information Entropy Weighting and Positive Research.

LOU Wengao, W Guanglei… - Tourism Tribune/Lvyou …, 2013 - search.ebscohost.com
A comprehensive evaluation index system for travel security early warnings consists of three
components, namely the frequency of tourism destination disasters, safety levels of facilities …

[Retracted] Safety Risk Assessment of Tourism Management System Based on PSO‐BP Neural Network

W Guo - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
With the development of science and technology, system management is gradually applied
to tourism management. How to correctly assess the security risks of the tourism …

[PDF][PDF] Construction and Application of Forecast Model for Eco-Tourism Market Demand Based on BP Neural Network

H Chen - The Frontiers of Society, Science and Technology, 2019 - francis-press.com
Now, analysis of the tourism market in the future period of time usually uses time series
prediction and causal model prediction. However, due to the complicated tourism market …

Analysis of human resource allocation model for tourism industry based on improved BP neural network

S Zhu, Y Liu - Journal of Mathematics, 2022 - Wiley Online Library
This paper analyzes the deficiencies of human resource allocation in the tourism industry by
investigating the human resource allocation in the tourism industry, puts forward …